ironflow/hyperliquid-trades

Hyperliquid Trades

Every trade on Hyperliquid perps and spot from 3 October 2026, one row per trade with the buyer, the seller and the taker side, with a new file every day. Through 7 November 2026: 36 days, 206,336,194 trades.

In the first 30 days, 3 October to 1 November 2026: 167,577,425 trades across 641 markets (179 native perps, 171 HIP-3 builder perps on xyz, para, io and mkts, and 291 spot pairs), $233.6 billion in notional between 327,481 wallets.

BTC-PERP is the largest market at $68.1 billion; HYPE-PERP has the most trades, 9.4 million. HIP-3 markets took 31% of the notional, $73.1 billion, almost all of it on xyz. The busiest day is 29 October 2026, with 10.2 million trades and $18.2 billion; its 20:00 UTC hour alone had 1.45 million trades and $3.6 billion.

Each row joins the two fills of one trade, so the buyer, the seller and the taker are on one line. The fills are the ones Ironflow records from its own Hyperliquid node, the same data its GET /v1/trades API serves one fill at a time.

Get live data

Live Hyperliquid data is on Ironflow. The same trades, up to the latest block, are on Ironflow's API: GET /v1/trades, one row per fill (both sides of each trade). No key is needed for the last 24 hours; a free key gives 30 days.

Source and updates

• Source: fills recorded by Ironflow's own Hyperliquid node. Block gaps, such as node outages, are refilled automatically from Hyperliquid's node archive on S3.
• Checks: row counts match Ironflow's store day by day, hourly trade counts match Hyperliquid's own candles, and a sample matches Ironflow's API field by field (see Notes).
• Updates: one file per UTC day, added daily for the day before; the coverage line at the top is updated with it.
• Coverage: from 3 October 2026. Native perps, HIP-3 perps and spot; HIP-4 outcome markets are not included.

Files

One Parquet file per UTC day: data/YYYY-MM-DD.parquet, one row per trade, in exchange order (time, then block, then position in the block). A day holds 3 to 10 million trades, 80 to 250 MB.

Column	Type	Meaning
timestamp	timestamp (ms, UTC)	trade time
market	string	Ironflow market symbol, e.g. BTC-PERP, xyz:NVDA-PERP, HYPE/USDC
coin	string	Hyperliquid's name for the market, e.g. BTC, xyz:NVDA, @107
dex	string	HIP-3 builder dex (xyz, para, ...); empty for native perps and spot
market_class	string	perp or spot
price	float	trade price
size	float	trade size in the base asset
notional	float	price * size, in the market's quote currency (see Notes)
taker_side	string	buy if the taker bought, sell if the taker sold
buyer	string	address of the buying wallet
seller	string	address of the selling wallet
liquidation	bool	true when a fill of the trade carries Hyperliquid's liquidation field
block	int	Hyperliquid block
tid	int	Hyperliquid trade id, shared by the buy fill and the sell fill

The taker is the buyer when taker_side is buy and the seller otherwise.

Use

import pandas as pd

t = pd.read_parquet("hf://datasets/ironflow/hyperliquid-trades/data/2026-10-29.parquet")
btc = t[t.market == "BTC-PERP"].set_index("timestamp")
flow = btc.notional.where(btc.taker_side == "buy", -btc.notional).resample("5min").sum()
print(flow.tail())  # taker net buying on BTC, USDC per 5 minutes

-- DuckDB: the 10 busiest markets and the share of volume bought by takers
SELECT market, sum(notional) / 1e9 AS usd_bn, count(*) AS trades,
       sum(notional) FILTER (WHERE taker_side = 'buy') / sum(notional) AS taker_buy_share
FROM 'data/*.parquet'
GROUP BY market
ORDER BY usd_bn DESC
LIMIT 10;

Notes

• One row per trade. Hyperliquid records a fill for each wallet in a trade, and Ironflow's API returns both. Here the buy fill and the sell fill that share a tid are joined; the taker is the fill Hyperliquid marks as crossing.
• Not included: HIP-4 outcome markets, where many fills have one side only and do not pair into trades; and fills with trade id 0, which are spot sells worth under $1 each at 00:00 UTC every day, with no buyer.
• Checks. Each day's row count equals the number of taker fills in Ironflow's store. Over all 720 hours, hourly trade counts equal Hyperliquid's own candleSnapshot in 5,024 of 5,040 market-hours for BTC, ETH, HYPE, SOL, xyz:XYZ100 and xyz:SKHX perps and HYPE/USDC; the other 16 have 1 to 6 more trades here and none has fewer. In the HYPE/USDC hours the extra trades are exactly the liquidation trades, which Hyperliquid's candles leave out. On 1 November 2026, 2,259 trades in BTC-PERP, HYPE/USDC and xyz:XYZ100-PERP windows match Ironflow's GET /v1/trades in time, price, size, buyer and seller.
• Ironflow's store holds a second copy, without a block number, of 30 para:PAPER-PERP trades on 19 October 2026 (21:39 to 22:01 UTC); only the copy with the block is kept.
• notional is in the market's quote currency, a USD stablecoin. For spot it is the token after the slash: USDC for 286 of the 291 pairs, USDT0 or USDE for the other 5.
• There is no transaction hash column; block and tid identify a trade.
• liquidation is true for 611,864 trades. For one row per liquidated position, see ironflow/hyperliquid-liquidations.
• 1,275 spot trades, a few dozen a day at 00:00:00 UTC, have 0xeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee as one side.
• No duplicate (market, tid) rows and no trades with the same wallet on both sides.
• Wallet addresses are public on-chain data. To object to, or ask us to remove, a wallet address, write to hello@ironflow.sh. Files already published cannot be recalled; later files leave the address out.

Changes

• v1, 2 November 2026. First release: 3 October to 1 November 2026.

License and citation

CC BY 4.0. Credit "Ironflow (ironflow.sh)" when you use or share the data.